Transport for London
In research, Transport for London stands highest in Social Sciences (#4,961 of 16,945 worldwide), Engineering (#4,517 of 11,412 worldwide) and Social Sciences (#5,354 of 10,206 worldwide), over all time.
- World rank, 2022–2025
- #16,710 of 28,054 · #14,050 all time
- Rank in United Kingdom
- #596 of 1,094
- Research works
- 624 ▲ 28% vs 2013–17
- Citations
- 17k 26.6 per fractional work
- Top-10% rate
- 35.0% record average 16.5%
- Open access
- 29% world 28%
What is Transport for London known for in research?
The fields where it stands highest, over all time, ranked among every institution above the floor in each field.
| Field | World rank | Where that sits | Top-10% rate | Works |
|---|---|---|---|---|
| Social SciencesDomain | #4,961 of 16,945 | 39.1% | 248 | |
| EngineeringField | #4,517 of 11,412 | 32.9% | 239 | |
| Social SciencesField | #5,354 of 10,206 | 42.1% | 142 | |
| Physical SciencesDomain | #11,638 of 21,541 | 32.8% | 307 |
Each strip is that field’s whole ranked pool, with the notch where Transport for London sits in it, in the colour of the band that rank falls in. The track under the rate is the rate itself: it carries no world mark, because the world rate differs by field (from about 6% to 21% in this record).
Field profile
Location quotient across every field it publishes in: outside the ring is more than an institution of this size would be expected to publish, inside it is less.
Rings at 0.5×, 1× and 2×. Widest outward: Engineering, 3.0×. Every wedge is a field page.
- Engineering 3.0×
- Decision Sciences 2.2×
- Economics, Econometrics and Finance 1.9×
- Social Sciences 1.7×
- Health Professions 1.6×
- Business, Management and Accounting 1.5×
- Energy 1.4×
- Environmental Science 0.9×
- Psychology 0.8×
- Mathematics 0.6×
- Computer Science 0.5×
- Earth and Planetary Sciences 0.5×
- Arts and Humanities 0.4×
- Chemical Engineering 0.2×
- Medicine 0.2×
- Physics and Astronomy 0.1×
- Neuroscience 0.1×
- Agricultural and Biological Sciences 0.0×
- Biochemistry, Genetics and Molecular Biology 0.0×
Which keywords describe research at Transport for London?
By fractional works in 2022–2025, weighted toward what it does more of than the world: Travel Behavior, Intelligent Transportation Systems, Public Transport, Urban Mobility, Service Quality, Traffic Flow, Congestion Pricing and Route Choice.
- Smart Grid
- Traffic Accidents
- Injury Severity
- Driver Assistance Systems
- Graph Convolutional Networks
- Shared Autonomous Vehicles
- Short-Term Forecasting
- Spatial Analysis
- Driver Behavior
- Microscopic Simulation
- Reinforcement Learning
- Collision Avoidance
- Machine Learning
- Built Environment
- Transportation
- Physical Activity
- Service Quality
- Congestion Pricing
- Public Transport
- Travel Behavior
- Deep Learning
- Intelligent Transportation Systems
- Urban Mobility
- Route Choice
- Traffic Flow
- Health Impact Assessment
- Active Travel
- Sustainability
- Neural Networks
- Environmental Impacts
- Cooperative Adaptive Cruise Control
- Autonomous Vehicles
- Energy Efficiency
- Probabilistic Forecasting
- Ridesharing
- Urban Traffic
- Spatio-Temporal Data
- Electric Vehicles
- Road Safety
- Trajectory Prediction
Size is fractional works in 2022–2025 in the topics tagged with each word; colour is the word's share of this institution's work against its share of the world's. The 40 words are chosen for being large and distinctive. Each links to the topic it comes from most.
All 40 words, with their numbers
- Deep Learning9▲ 3.2×23 topics
- Travel Behavior7▲ 94×2 topics
- Intelligent Transportation Systems7▲ 57×3 topics
- Public Transport6▲ 133×2 topics
- Urban Mobility6▲ 133×2 topics
- Congestion Pricing6▲ 137×1 topic
- Route Choice6▲ 137×1 topic
- Service Quality6▲ 29×2 topics
- Traffic Flow6▲ 74×2 topics
- Physical Activity6▲ 15×3 topics
- Health Impact Assessment6▲ 84×2 topics
- Transportation6▲ 38×2 topics
- Active Travel6▲ 100×1 topic
- Built Environment6▲ 100×1 topic
- Sustainability5▲ 2.6×18 topics
- Machine Learning5▲ 1.77×13 topics
- Neural Networks4▲ 3.4×9 topics
- Collision Avoidance4▲ 28×3 topics
- Environmental Impacts4▲ 17×2 topics
- Reinforcement Learning4▲ 42×2 topics
- Cooperative Adaptive Cruise Control4▲ 110×1 topic
- Microscopic Simulation4▲ 110×1 topic
- Autonomous Vehicles4▲ 20×3 topics
- Driver Behavior3▲ 52×2 topics
- Energy Efficiency3▲ 4.3×11 topics
- Spatial Analysis3▲ 44×2 topics
- Probabilistic Forecasting3▲ 19×2 topics
- Short-Term Forecasting3▲ 26×2 topics
- Ridesharing3▲ 65×1 topic
- Shared Autonomous Vehicles3▲ 65×1 topic
- Urban Traffic3▲ 29×2 topics
- Graph Convolutional Networks3▲ 30×1 topic
- Spatio-Temporal Data3▲ 51×1 topic
- Driver Assistance Systems3▲ 55×1 topic
- Electric Vehicles3▲ 11×4 topics
- Injury Severity3▲ 39×2 topics
- Road Safety3▲ 77×1 topic
- Traffic Accidents3▲ 68×1 topic
- Trajectory Prediction3▲ 55×1 topic
- Smart Grid2▲ 7.2×3 topics
Which research topics does Transport for London publish most on?
By volume in 2022–2025: Transportation Planning and Optimization, Urban Transport and Accessibility, Traffic control and management and Transportation and Mobility Innovations.
Area is fractional works; colour is the subfield each topic belongs to.
- 1 Transportation Planning and Optimization Transportation 6 works
- 2 Urban Transport and Accessibility Transportation 6 works
- 3 Traffic control and management Control and Systems Engineering 4 works
- 4 Transportation and Mobility Innovations Automotive Engineering 3 works
- 5 Traffic Prediction and Management Techniques Building and Construction 3 works
- 6 Autonomous Vehicle Technology and Safety Automotive Engineering 3 works
- 7 Traffic and Road Safety Safety, Risk, Reliability and Quality 3 works
- 8 Electric Vehicles and Infrastructure Electrical and Electronic Engineering 2 works
- 9 Noise Effects and Management Speech and Hearing 2 works
- 10 Vehicle emissions and performance Automotive Engineering 2 works
How open and international is its research?
Against the world’s own shares — the tick on each track. Both are shares of its output, so they sit on one scale and can be read against each other as well as against the world.
World: 28% of research is openly available.
World: 19% is written across borders.
How has Transport for London's research output changed?
Output in 2018–2022 was 28% higher than in 2013–2017.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Other research institutions in London
- University College London
- Imperial College London
- King's College London
- Queen Mary University of London
- London School of Economics and Political Science
- University of London
- Brunel University of London
- London School of Hygiene & Tropical Medicine
Research measures only: rankings here say nothing about teaching, admissions or student experience. Comparable institutions and collaboration partners are in the interactive view on the map.